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JSAC
2008
106views more  JSAC 2008»
15 years 6 months ago
Enhanced multiuser random beamforming: dealing with the not so large number of users case
We consider the downlink of a wireless system with an M-antenna base station and K single-antenna users. A limited feedback-based scheduling and precoding scenario is considered th...
Marios Kountouris, David Gesbert, Thomas Sälz...
IJSWIS
2007
96views more  IJSWIS 2007»
15 years 6 months ago
An Incremental Method for the Lexical Annotation of Domain Ontologies
In this paper, we present MELIS (Meaning Elicitation and Lexical Integration System), a method and a software tool for enabling an incremental process of automatic annotation of lo...
Sonia Bergamaschi, Paolo Bouquet, Daniel Giacomuzz...
ARTMED
1999
92views more  ARTMED 1999»
15 years 6 months ago
Two-Stage Machine Learning model for guideline development
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
Subramani Mani, William Rodman Shankle, Malcolm B....
MDM
2010
Springer
213views Communications» more  MDM 2010»
15 years 5 months ago
Towards Adaptive Sensor Data Management for Distributed Fire Evacuation Infrastructure
— We introduce a novel strategy for data processing in Wireless Sensor Networks (WSNs) in the case of emergency fire evacuation with stringent delay constraints. Such networks sh...
Andrii Cherniak, Vladimir Zadorozhny
MVA
2010
181views Computer Vision» more  MVA 2010»
15 years 5 months ago
Human action detection via boosted local motion histograms
This paper presents a novel learning method for human action detection in video sequences. The detecting problem is not limited in controlled settings like stationary background or...
Qingshan Luo, Xiaodong Kong, Guihua Zeng, Jianping...